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This paper deals with the modeling, identification and control of the Pierburg mechatronic actuator. This actuator is used in the BMW M57 diesel engine to control all the air which are charged and entered in the vehicle engine. The actuator static characteristics are exploited to model the system dynamics. Then, the obtained model from the identification procedure is used to design a nonlinear control...
This paper presents an adaptive nonlinear control using radial-basis-function neural network (RBFNN) for an electric unicycle. A mechatronic system structure of the unicycle is constructed and its simplified mathematical modeling is then established by using Newtonian mechanics and incorporating the frictions between the wheel and the terrain surface. An adaptive nonlinear control together with RBFNN...
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